Uso problemático de internet en adolescentes: factores personales de riesgo y consecuencias emocionales y conductuales

  1. Cristina Alonso
  2. Estrella Romero
Revista:
Revista iberoamericana de psicología y salud

ISSN: 2171-2069

Año de publicación: 2021

Volumen: 12

Número: 2

Páginas: 76-89

Tipo: Artículo

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Otras publicaciones en: Revista iberoamericana de psicología y salud

Resumen

Antecedentes/Objetivo: El objetivo de este estudio es analizar si los cinco grandes de personalidad son predictores del uso problemático de internet (UPI) y si éste predice cambios en el bienestar emocional y en las conductas externalizantes, así como en las conductas de riesgo asociadas a internet (ciberacoso y sexting). Método: Se analizan los datos de 624 adolescentes estudiados en dos ocasiones (T1 y T2) distanciadas por un período de un año, y fueron evaluados el UPI así como los cinco grandes de personalidad y las potenciales consecuencias. Resultados: Los resultados muestran que una baja responsabilidad predice aumento del UPI entre T1 y T2. Además, los resultados ponen de manifiesto que un alto UPI predice aumentos en la conducta agresiva tanto proactiva como reactiva y en el consumo de sustancias. Una alta puntuación en UPI predice descenso de las emociones positivas. Los resultados también sugieren que un alto UPI predice aumento de cibervictimización y ciberagresión. Conclusiones: Este estudio permite comprobar que la personalidad predice el desarrollo del UPI en la adolescencia y que el UPI contribuye al desarrollo de problemas externalizantes y al deterioro de bienestar subjetivo.

Referencias bibliográficas

  • Agbaria, Q. (2020). Internet addiction and aggression: the mediating roles of self-control and positive affect. International Journal of Mental Health and Addiction, 1-16. https:// doi.org/10.1007/s11469-019-00220-z
  • Akin, A. y İskender, M. (2011). Internet addiction and depression, anxiety and stress. International Online Journal of Educational Sciences, 3(1), 138-148.
  • Alonso, C. y Romero, E. (2017). El uso problemático de nuevas tecnologías en una muestra clínica de niños y adolescentes. Personalidad y problemas de conducta asociados. Actas Españolas de Psiquiatría, 45(2), 62-70.
  • Alonso, C. y Romero, E. (2018). Study of the domains and facets of the five-factor model of personality in problematic internet use in adolescents. International Journal of Mental Health and Addiction, 1-12. https://doi. org/10.1007/s11469-018-9960-2
  • Anderson, E., Steen, E. y Stavropulos, V. (2016). Internet use and Problematic Internet Use: A systematic review of longitudinal research trends in adolescence and emergent adulthood, International Journal of Adolescence and Youth, 22(4), 1-25. https:// doi.org/10.1080/02673843.2016.122771 6
  • Andreassen, C.S., Griffiths, M.D., Gjertsen, S.R., Krossbakken, E., Kvam, S. y Pallesen, S. (2013). The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addiction, 2(2), 90-99. https://doi.org/10.1556/ JBA.2.2013.003
  • Andreu, J.M., Peña, M.E. y Ramírez, J.M. (2009). Cuestionario de agresión reactiva y proactiva: Un instrumento de medida de la agresión en adolescentes. Revista de Psicopatología y Psicología Clínica, 14, 37- 49.
  • Arpaci, I., Abdeljawad, T., Baloğlu, M., Kesici, Ş. y Mahariq, I. (2020). Mediating effect of internet addiction on the relationship between individualism and cyberbullying: CrossSectional Questionnaire Study. Journal of Medical Internet Research, 22(5):e16210. https://doi.org/10.2196/16210
  • Carroll, A., McCarthy, M., Houghton, S., Sanders O’Connor, E. y Zadow, C. (2018). Reactive and proactive aggression as meaningful distinctions at the variable and person level in primary school-aged children. Aggressive behavior, 44(5), 431-441. https://doi. org/10.1002/ab.21763
  • Cheung, J.C., Chan, K.H., Lui, Y., Tsui, M. y Chan, C. (2018). Psychological well-being and adolescents’ internet addiction: A schoolbased cross-sectional study in Hong Kong. Child and Adolescent Social Work Journal, 35, 477-487. https://doi.org/10.1007/s10560- 018-0543-7
  • Costa, P.T., Jr. y McCrae, R.R. (1992). The Revised NEO Personality Inventory (NEOPI-R) and NEO-Five-Factor Inventory (NEOFFI) professional manual. Psychological Assessment Resources.
  • Del Rey, R., Casas, J.A., Ortega-Ruiz, R., Schultze-Krumbholz, A., Scheithauer, H., Smith, P. y Plichta, P. (2015). Structural validation and cross-cultural robustness of the European Cyberbullying Intervention Project Questionnaire. Computers in Human Behavior, 50, 141-147. https://doi.org/10.1016/j. chb.2015.03.065
  • Dodge, K.A. y Coie, J.D. (1987). Socialinformation-processing factors in reactive and proactive aggression in children’s peer groups. Journal of Personality and Social Psychology, 53(6), 1146-1158. https://doi. org/10.1037/0022-3514.53.6.1146
  • Durkee, T., Kaess, M., Carli, V., Parzer, P., Wasserman, C., Floderus B., Apter, A., Balazs, J., Barzilay, S., Bobes, J., Brunner, R., Corcoran, P., Cosman, D., Cotter, P., Despalins, R., Graber, N., Guillemin, F., Haring, C., Kahn, J. P, … Wasserman, D. (2012). Prevalence of pathological internet use among adolescents in Europe: Demographic and social factors. Addiction, 107, 2210-2222. https://doi. org/10.1111/j.1360-0443.2012.03946.x
  • Echeburúa, E. y De Corral, P. (2010). Adicción a las nuevas tecnologías y a las redes sociales en jóvenes: n nuevo reto. Adicciones, 22, 91-96. Recuperado de: https://www. adicciones.es/index.php/adicciones/article/ view/196/186
  • Eraso, A. y Fernández, S. (2020). Uso compulsivo de internet y consumos de sustancias entre los adolescentes españoles. Sistema: Revista de Ciencias Sociales, 257, 19-35.
  • Estévez, A., Jauregui, P., Sánchez-Marcos, I., López-González, H. y Griffiths, M.D. (2017). Attachment and emotion regulation in substance addictions and behavioural addictions. Journal of Behavioral Addictions, 6(4), 534-544. https://doi. org/10.1556/2006.6.2017.086
  • Fandiño-Leguia, J.D. (2017). Los estudiantes y el uso problemático de internet. Revista Internacional de Estudios en Educación, 17(2), 145-170. https://doi.org/10.37354/ riee.2017.175
  • Gámez-Guadix, M. (2014). Depressive symptoms and problematic internet use among adolescents: Analysis of the longitudinal relationships from the cognitive-behavioral model. Cyberpsychology, Behavior and Social Networking, 17(11), 714-719. https://doi. org/10.1089/cyber.2014.0226
  • Gámez-Guadix, M., Calvete, E., Orue, I. y Las Hayas, C. (2015). Problematic internet use and problematic alcohol use from the cognitive-behavioral model: A longitudinal study among adolescents. Addictive Behaviors, 40, 109-114. https://doi.org/10.1016/j. addbeh.2014.09.009
  • Gámez-Guadix, M. y Villa-George, F. (2015). El modelo cognitivo-conductual de la adicción a Internet: El papel de la depresión y la impulsividad en adolescentes mexicanos. Psicología y Salud, 25, 111-122. Recuperado de https://psicologiaysalud.uv.mx/index.php/ psicysalud/article/view/1344/2472
  • Gómez-García, G., Romero-Rodríguez, J.M., Rodríguez-Jiménez, C. y Ramos Navas-Parejo, M. (2020). Sexting among university students: Links to internet addiction and psychological variables. Journal of Drug and Alcohol Research, 9, Article ID 236105, 16 pages. https://doi.org/10.4303/jdar/236105
  • Hair, J.F, Anderson, R.E, Babin, B.J y Black, W.C. (2010). Multivariate data analysis: A global perspective. 7th ed. Upper Saddle River (N.J.): Pearson education.
  • Hong, S., You, S., Kim, E. y No, U. (2014). A group-based modeling approach to estimating longitudinal trajectories of Korean adolescents’ on-line game time. Personality and Individual Differences, 59, 9-15. https:// doi.org/10.1016/j.paid.2013.10.018
  • Kayis, A.R., Satici, S.A., Yilmaz, M.F., Simsek, D., Ceyhan, E. y Bakioglu, F. (2016). Big five-personality trait and internet addiction: A meta-analytic review. Computers in Human Behavior, 63, 35-40. https://doi. org/10.1016/j.chb.2016.05.012
  • Koporčić, M. y Ručević, S. (2018. Odnos osobina ličnosti, tipova usamljenosti i ovisnosti o internetu. Medijska Istraživanja: ZnanstvenoStručni Casopis za Novinarstvo i Medije, 24(2), 69-90. https://doi.org/10.22572/mi.24.2.4
  • Little, T., Henrich, C., Jones, S. y Hawley, P. (2003). Disentangling the “whys” from the “whats” of aggressive behaviour? International Journal of Behavioral Development, 27, 122-133. https://doi. org/10.1080/01650250244000128
  • Luengo, A., Otero López J.M., Mirón, L. y Romero, A. (1995). Análisis psicosocial del consumo de drogas en los adolescentes gallegos. Xunta de Galicia
  • McCrae, R.R. y Costa, P.T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology, 52(1), 81-90. https://doi.org/10.1037/0022- 3514.52.1.81
  • Montag, C. y Reuter, M. (Eds.). (2015). Studies in neuroscience, psychology and behavioral economics. Internet addiction: Neuroscientific approaches and therapeutical interventions. Springer Science + Business Media. https:// doi.org/10.1007/978-3-319-07242-5
  • Obeid, S., Saade, S., Haddad, C., Sacre, H., Khansa, W., Al Hajj, R., Kheir, N. y Hallit, S. (2019). Internet addiction among lebanese adolescents: The role of self-esteem, anger, depression, anxiety, social anxiety and fear, impulsivity, and aggression-a cross-sectional study. The Journal of Nervous and Mental Disease, 207(10), 838-846. https://doi. org/10.1097/NMD.0000000000001034
  • Ortet, G., Escrivá, P., Ibañez, M.I., Villa, H., Mezquita, L. y Ruipérez, M.A. (2010). Versión corta de la adaptación española del NEOPI-R (JS NEO-S). International Journal of Clinical and Health Psychology, 10, 327-344. Recuperado de http://www.aepc.es/ijchp/ articulos_pdf/ijchp-354.pdf
  • Ortet, G., Ibañez, M. I., Moya, J., Villa, H., Viruela, A., y Mezquita, L. (2012). Assessing the five factor of personality in adolescents: The Junior Version of the Spanish NEOPI-R. Assessment, 19, 114-130. https://doi. org/10.1177/1073191111410166
  • Penado, M., Andreu, J.M. y Peña, E. (2014). Agresividad reactiva, proactiva y mixta: Análisis de los factores de riesgo individual. Anuario de Psicología Jurídica, 24, 37-42. https://doi. org/10.1016/j.apj.2014.07.012
  • Prabakaran, S.A. y Venkatachalam, J. (2020). Exploration of internet usage, procrastination and psychological wellbeing of undergraduate students. Journal of Xi’an University of Architecture & Tecnology, 12(2), 2961-2966.
  • Raine, A., Dodge, K., Loeber, R., Gatzke-Kopp, L., Lynam, D., Reynolds, C., Stouthamer-Loeber, M. y Liu, J. (2006). The reactive-proactive aggression questionnaire: Differential correlates of reactive and proactive aggression in adolescent boys. Aggressive Behavior, 32(2), 159-171. https://doi.org/10.1002/ ab.20115
  • Roma, P., Ricci, F., Kotzalidis, G.D., Guidarelli, B., Pancheri, C., Mazza, C., Cinti, M.E., Burla, F. y Ferracuti, S. (2019). Psychopathology and personality in problematic internet users. Rivista di Psichiatria, 54(1), 24-30. https://doi. org/10.1708/3104.30937
  • Rosenberg, M. (1965). Society and the adolescent self-image. Princeton University Press.
  • Ruiz-Hernández, J.A., Moral-Zafra, E., LlorEsteban, B. y Jiménez-Barbero, J.A. (2019). Influence of parental styles and other psychosocial variables on the development of externalizing behaviors in adolescents:
  • A systematic review. European Journal of Psychology Applied to Legal Context, 11(1), 9-21. https://doi.org/10.5093/ ejpalc2018a11
  • Selig, J.P. y Little, T.D. (2012). Autoregressive and cross-lagged panel analysis for longitudinal data. In B. Laursen, T. D. Little y N. A. Card (Eds.), Handbook of developmental research methods (pp. 265-278). New York, NY: The Guilford Press.
  • Shaffer, H., LaPlante, D., LaBrie, R., Kidman, R., Donato, A., Stanton, M. (2004). Toward a syndrome model of addiction: Multiple expressions, common etiology. Harvard Review of Psychiatry, 12(6), 367-374. https:// doi.org/10.1080/10673220490905705
  • Shapira, N.A., Goldsmith, T.D., Keek Jr, P.E., Khosla, U.M. y McElroy, S.L. (2000). Psychiatric features of individuals with problematic internet use. Journal of Affective Disorders, 57 (1-3), 267-272.
  • Soole, D.W., Mazerolle, L. y Rombouts, S. (2008). School-Based Drug Prevention Programs: A Review of What Works. Australian & New Zealand Journal of Criminology, 41(2), 259-286. https://doi.org/10.1375/ acri.41.2.259
  • Stavropoulos, V., Kuss, D.J., Griffiths, M.D., Wilson, P. y Motti-Stefanidi, F. (2017). MMORPG gaming and hostility predict Internet Addiction symptoms in adolescents: An empirical multilevel longitudinal study. Addictive Behaviors, 64, 294-300. https:// doi.org/10.1016/j.addbeh.2015.09.001
  • Stodt, B., Wegmann, E. y Brand, M. (2016). Predicting dysfunctional internet use: The role of age, conscientiousness, and internet literacy in internet addiction and cyberbullying. International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 6(4), 28-43. https://doi.org/10.4018/ IJCBPL.2016100103
  • Thorsteinsson, E.B. y Davey, L. (2014). Adolescents’ compulsive internet use and depression: A longitudinal study. Open Journal of Depression, 3(1), 13-17. https:// doi.org/10.4236/ojd.2014.31005
  • Tur-Porcar, A.M., Doménech, A. y Jiménez, J. (2019). Eficacia académica percibida, crianza, uso de internet y comportamiento en la adolescencia. Revista Latinoamericana de Psicología, 51(1), 38-47. https://doi. org/10.14349/rlp.2019.v51.n1.5
  • Vitaro, F., Brendgen, M. y Barker, E.D. (2006). Subtypes of aggressive behaviors: A developmental perspective. International Journal of Behavioral Development, 30(1), 12-19. https://doi. org/10.1177/0165025406059968
  • Vondrackova, P. y Gabrhelik, R. (2016). Prevention of Internet addiction: A systematic review. Journal of Behavioral Addictions, 5(4), 568-579. https://doi. org/10.1556/2006.5.2016.085
  • Wang, C.W., Ho, R.T., Chan, C.L. y Tse, S. (2015). Exploring personality characteristics of Chinese adolescents with Internet-related addictive behaviours: Trait differences for gaming addiction and social networking addiction. Addictive Behaviours, 42, 32-35.
  • Wartberg, L., Kriston, L., Zieglmeier, M., Lincoln, T. y Kammerl, R. (2019). A longitudinal study on psychosocial causes and consequences of Internet gaming disorder in adolescence. Psychological Medicine, 49(2), 287-294. https://doi.org/10.1017/ S003329171800082X
  • Watson, D., Clark, L.A., y Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063-1070.
  • Weibel, D., Wissmath, B. y Groner, R. (2010). Motives for creating a private website and personality of personal homepage owners in terms of extraversion and heuristic orientation. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 4(1), Article 5. Recuperado de https://cyberpsychology.eu/ article/view/4234/3278
  • Weisskirch, R.S. y Delevi, R. (2011). “Sexting” and adult romantic attachment. Computers in Human Behavior, 27(5), 1697-1701. https:// doi.org/10.1016/j.chb.2011.02.008
  • Xiao, J., Li, D., Jia, J., Wang, Y., Sun, W. y Li, D. (2019). The role of stressful life events and the Big Five personality traits in adolescent trajectories of problematic Internet use. Psychology of Addictive Behaviors, 33(4), 360- 370. https://doi.org/10.1037/adb0000466
  • Yang, S.Y. y Kim, H.S. (2018). Effects of a prevention program for internet addiction among middle school students in South Korea. Public Health Nursing, 35(3), 246- 255. https://doi.org/10.1111/phn.12394
  • Young, K.S. (1998). Internet addiction: The emergence of a new clinical disorder. CyberPsychology & Behavior, 1, 237-244. https://doi.org/10.1089/cpb.1998.1.237
  • Yu, L. y Shek, D. (2018). Testing longitudinal relationships between internet addiction and well-being in Hong Kong adolescents: Crosslagged analyses based on three waves of data. Child Indicators Research, 11, 1545- 1562. https://doi.org/10.1007/s12187- 017-9494-3
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